DocumentCode :
2063438
Title :
Evaluation of residual service life of high voltage circuit breaker
Author :
Huang Kai ; Zhao Shuqiang
Author_Institution :
North China Electr. Power Univ., Beijing, China
fYear :
2012
fDate :
10-14 Sept. 2012
Firstpage :
1
Lastpage :
4
Abstract :
It makes evaluation of residual service life on the high voltage circuit breaker more difficult, because of the uncertainty (fuzziness, randomness) and complexity of high voltage circuit breaker life influencing factors, so this paper presents a service life assessment model based on fuzzy reliability. The fuzziness and randomness of the parameter characteristics about high voltage circuit breaker are analysed, the distribution function and the fuzzy membership function of the parameters are obtained. With the online monitoring datas, using the random theory and the fuzzy theory calculate the fuzzy reliability of high voltage circuit breaker. For maintenance of high voltage circuit breaker causing data mutation, this paper uses a improved gray GIM (1, 1) prediction method based on the step data sequence, it realizes to predict the residual service life of high voltage circuit breaker. Finally, using SF6 high voltage circuit breaker as the example, verifies the rationality of the remaining life assessment model of high voltage circuit breaker.
Keywords :
SF6 insulation; circuit breakers; fuzzy set theory; high-voltage engineering; maintenance engineering; random processes; reliability; remaining life assessment; SF6 high voltage circuit breaker; data mutation; distribution function; fuzziness; fuzzy membership function; fuzzy reliability; fuzzy theory; high voltage circuit breaker maintenance; improved gray GIM (1, 1) prediction method; online monitoring datas; parameter characteristics; random theory; randomness; remaining life assessment model; residual service life evaluation; service life assessment model; step data sequence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electricity Distribution (CICED), 2012 China International Conference on
Conference_Location :
Shanghai
ISSN :
2161-7481
Print_ISBN :
978-1-4673-6065-4
Electronic_ISBN :
2161-7481
Type :
conf
DOI :
10.1109/CICED.2012.6508698
Filename :
6508698
Link To Document :
بازگشت